A decision support framework for intermodal transport policy
Purpose In recent years intermodal transport has received an increased attention due to problems of road congestion, environmental concerns and traffic safety. A growing recognition of the external effects of transport urges to go towards more sustainable transport modes. As a consequence, research...
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Veröffentlicht in: | European transport research review 2011-12, Vol.3 (4), p.167-178 |
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creator | Macharis, Cathy Caris, An Jourquin, Bart Pekin, Ethem |
description | Purpose
In recent years intermodal transport has received an increased attention due to problems of road congestion, environmental concerns and traffic safety. A growing recognition of the external effects of transport urges to go towards more sustainable transport modes. As a consequence, research and policy interest in intermodal freight transportation problems is growing.
Methods
In this paper the strengths of Operations Research (OR) modelling techniques applicable to decisions related to intermodal transport are used to develop a particular framework that is able to assess the performance of current and potential policy measures which affects the intermodal transport industry. The assessment framework includes three core models necessary to evaluate all relevant transport modes and aggregation levels.
Results
In the last section of the paper, the assessment framework is applied to a case study related to the location of a new intermodal barge terminal for which the optimal location is searched, the market area is analysed and the impact on the performance of the network is discussed. |
doi_str_mv | 10.1007/s12544-011-0062-5 |
format | Article |
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In recent years intermodal transport has received an increased attention due to problems of road congestion, environmental concerns and traffic safety. A growing recognition of the external effects of transport urges to go towards more sustainable transport modes. As a consequence, research and policy interest in intermodal freight transportation problems is growing.
Methods
In this paper the strengths of Operations Research (OR) modelling techniques applicable to decisions related to intermodal transport are used to develop a particular framework that is able to assess the performance of current and potential policy measures which affects the intermodal transport industry. The assessment framework includes three core models necessary to evaluate all relevant transport modes and aggregation levels.
Results
In the last section of the paper, the assessment framework is applied to a case study related to the location of a new intermodal barge terminal for which the optimal location is searched, the market area is analysed and the impact on the performance of the network is discussed.</description><identifier>ISSN: 1867-0717</identifier><identifier>EISSN: 1866-8887</identifier><identifier>DOI: 10.1007/s12544-011-0062-5</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Air pollution ; Assessments ; Automotive Engineering ; Barges ; Civil Engineering ; Costs ; Decision making ; Decision support systems ; Engineering ; Environmental conditions ; Externality ; Highway transportation ; Intermodal ; Markets ; Networks ; Noise ; Operations research ; Original Paper ; Policies ; Regional/Spatial Science ; Traffic congestion ; Transport ; Transportation</subject><ispartof>European transport research review, 2011-12, Vol.3 (4), p.167-178</ispartof><rights>The Author(s) 2011. This article is published under license to BioMed Central Ltd. This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution and reproduction in any medium, provided the original author(s) and source are credited.</rights><rights>European Conference of Transport Research Institutes (ECTRI) 2011</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3355-a690a10ac4171fd5d46a422bfae7dace1e6e47be67d9dddf476b10708d1974303</citedby><cites>FETCH-LOGICAL-c3355-a690a10ac4171fd5d46a422bfae7dace1e6e47be67d9dddf476b10708d1974303</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12544-011-0062-5$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://doi.org/10.1007/s12544-011-0062-5$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,864,27924,27925,41120,41488,42189,42557,51319,51576</link.rule.ids></links><search><creatorcontrib>Macharis, Cathy</creatorcontrib><creatorcontrib>Caris, An</creatorcontrib><creatorcontrib>Jourquin, Bart</creatorcontrib><creatorcontrib>Pekin, Ethem</creatorcontrib><title>A decision support framework for intermodal transport policy</title><title>European transport research review</title><addtitle>Eur. Transp. Res. Rev</addtitle><description>Purpose
In recent years intermodal transport has received an increased attention due to problems of road congestion, environmental concerns and traffic safety. A growing recognition of the external effects of transport urges to go towards more sustainable transport modes. As a consequence, research and policy interest in intermodal freight transportation problems is growing.
Methods
In this paper the strengths of Operations Research (OR) modelling techniques applicable to decisions related to intermodal transport are used to develop a particular framework that is able to assess the performance of current and potential policy measures which affects the intermodal transport industry. The assessment framework includes three core models necessary to evaluate all relevant transport modes and aggregation levels.
Results
In the last section of the paper, the assessment framework is applied to a case study related to the location of a new intermodal barge terminal for which the optimal location is searched, the market area is analysed and the impact on the performance of the network is discussed.</description><subject>Air pollution</subject><subject>Assessments</subject><subject>Automotive Engineering</subject><subject>Barges</subject><subject>Civil Engineering</subject><subject>Costs</subject><subject>Decision making</subject><subject>Decision support systems</subject><subject>Engineering</subject><subject>Environmental conditions</subject><subject>Externality</subject><subject>Highway transportation</subject><subject>Intermodal</subject><subject>Markets</subject><subject>Networks</subject><subject>Noise</subject><subject>Operations research</subject><subject>Original Paper</subject><subject>Policies</subject><subject>Regional/Spatial Science</subject><subject>Traffic congestion</subject><subject>Transport</subject><subject>Transportation</subject><issn>1867-0717</issn><issn>1866-8887</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp1kE1LxDAQhoMouKz7A7wVvHiJZprPgpdl8QsWvOg5pE0qXdumJi2y_97s1oMIzmXm8Lwvw4PQJZAbIETeRsg5Y5gAYEJEjvkJWoASAiul5OnxlphIkOdoFeOOpKHAFaULdLfOrKua2Pg-i9Mw-DBmdTCd-_LhI6t9yJp-dKHz1rTZGEwfj8jg26baX6Cz2rTRrX72Er093L9unvD25fF5s97iilLOsREFMUBMxUBCbbllwrA8L2vjpDWVAycck6UT0hbW2ppJUQKRRFkoJKOELtH13DsE_zm5OOquiZVrW9M7P0UNklOeF5yJhF79QXd-Cn36LlEAoBQwmiiYqSr4GIOr9RCazoS9BqIPSvWsVCel-qBU85TJ50xMbP_uwq_mf0PfF9Z4GQ</recordid><startdate>201112</startdate><enddate>201112</enddate><creator>Macharis, Cathy</creator><creator>Caris, An</creator><creator>Jourquin, Bart</creator><creator>Pekin, Ethem</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>F~G</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>L.-</scope><scope>L6V</scope><scope>M0C</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>Q9U</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>201112</creationdate><title>A decision support framework for intermodal transport policy</title><author>Macharis, Cathy ; 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Transp. Res. Rev</stitle><date>2011-12</date><risdate>2011</risdate><volume>3</volume><issue>4</issue><spage>167</spage><epage>178</epage><pages>167-178</pages><issn>1867-0717</issn><eissn>1866-8887</eissn><abstract>Purpose
In recent years intermodal transport has received an increased attention due to problems of road congestion, environmental concerns and traffic safety. A growing recognition of the external effects of transport urges to go towards more sustainable transport modes. As a consequence, research and policy interest in intermodal freight transportation problems is growing.
Methods
In this paper the strengths of Operations Research (OR) modelling techniques applicable to decisions related to intermodal transport are used to develop a particular framework that is able to assess the performance of current and potential policy measures which affects the intermodal transport industry. The assessment framework includes three core models necessary to evaluate all relevant transport modes and aggregation levels.
Results
In the last section of the paper, the assessment framework is applied to a case study related to the location of a new intermodal barge terminal for which the optimal location is searched, the market area is analysed and the impact on the performance of the network is discussed.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s12544-011-0062-5</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Air pollution Assessments Automotive Engineering Barges Civil Engineering Costs Decision making Decision support systems Engineering Environmental conditions Externality Highway transportation Intermodal Markets Networks Noise Operations research Original Paper Policies Regional/Spatial Science Traffic congestion Transport Transportation |
title | A decision support framework for intermodal transport policy |
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